Revolutionising AI and sensor fusion for autonomous vehicles

With the viability of mass-market vehicle autonomy hanging in the balance, it’s crucial to find more affordable ways to improve vehicle perception.

This presentation shows how new approaches to deep learning and the fusion of low-cost sensors can dramatically reduce the cost and time to market of self-driving technologies, whilst achieving radical advances.

You will see how this can mitigate the effects of sensor distortion in poor weather, whilst upscaling depth information through synthetic data and training environments.

This will help technologists accelerate their roadmaps for autonomous technology and achieve improved reliability at significantly lower cost.

The presentation will incorporate the first demonstration of our most recent breakthrough perception model for autonomous driving systems.